POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. - Fengwei Yu; Wenbo Li 001; Quanquan Li; Yu Liu 015; Xiaohua Shi; Junjie Yan (ECCV Workshops (2), 2016)

Cascade shallow CNN structure for face verification and identification. - Biao Leng; Yu Liu 015; Kai Yu; Songting Xu; Ziqing Yuan; Jingyan Qin (Neurocomputing, 2016)

3D object understanding with 3D Convolutional Neural Networks. - Biao Leng; Yu Liu 015; Kai Yu; Xiangyang Zhang; Zhang Xiong 001 (Inf. Sci., 2016)

Scale-Aware Face Detection. - Zekun Hao; Yu Liu 015; Hongwei Qin; Junjie Yan; Xiu Li 001; Xiaolin Hu 001 (CVPR, 2017)

Quality Aware Network for Set to Set Recognition. - Yu Liu 015; Junjie Yan; Wanli Ouyang (CVPR, 2017)

Recurrent Scale Approximation for Object Detection in CNN. - Yu Liu 015; Hongyang Li 001; Junjie Yan; Fangyin Wei; Xiaogang Wang 001; Xiaoou Tang (ICCV, 2017)

Do we really need more training data for object localization. - Hongyang Li 001; Yu Liu 015; Xin Zhang 039; Zhecheng An; Jingjing Wang 001; Yibo Chen; Jihong Tong (ICIP, 2017)

Zoom Out-and-In Network with Recursive Training for Object Proposal. - Hongyang Li 001; Yu Liu 015; Wanli Ouyang; Xiaogang Wang 001 (CoRR, 2017)

Learning Deep Features via Congenerous Cosine Loss for Person Recognition. - Yu Liu 015; Hongyang Li 001; Xiaogang Wang 001 (CoRR, 2017)

Rethinking Feature Discrimination and Polymerization for Large-scale Recognition. - Yu Liu 015; Hongyang Li 001; Xiaogang Wang 001 (CoRR, 2017)

Region-Based Quality Estimation Network for Large-Scale Person Re-Identification. - Guanglu Song; Biao Leng; Yu Liu 015; Congrui Hetang; Shaofan Cai (AAAI, 2018)

Exploring Disentangled Feature Representation Beyond Face Identification. - Yu Liu 015; Fangyin Wei; Jing Shao; Lu Sheng; Junjie Yan; Xiaogang Wang 001 (CVPR, 2018)

Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy. - Guanglu Song; Yu Liu 015; Ming Jiang; Yujie Wang; Junjie Yan; Biao Leng (CVPR, 2018)

Transductive Centroid Projection for Semi-supervised Large-Scale Recognition. - Yu Liu 015; Guanglu Song; Jing Shao; Xiao Jin; Xiaogang Wang 001 (ECCV (5), 2018)

Crafting GBD-Net for Object Detection. - Xingyu Zeng; Wanli Ouyang; Junjie Yan; Hongsheng Li 001; Tong Xiao; Kun Wang; Yu Liu 015; Yucong Zhou; Bin Yang 022; Zhe Wang 006; Hui Zhou 005; Xiaogang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Gradient Harmonized Single-Stage Detector. - Buyu Li; Yu Liu 015; Xiaogang Wang 001 (AAAI, 2019)

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. - Hang Zhou 009; Yu Liu 015; Ziwei Liu 002; Ping Luo 002; Xiaogang Wang 001 (AAAI, 2019)

Conditional Adversarial Generative Flow for Controllable Image Synthesis. - Rui Liu 019; Yu Liu 015; Xinyu Gong; Xiaogang Wang 001; Hongsheng Li 001 (CVPR, 2019)

Knowledge Distillation via Route Constrained Optimization. - Xiao Jin; Baoyun Peng; Yichao Wu; Yu Liu 015; Jiaheng Liu; Ding Liang; Junjie Yan; Xiaolin Hu 001 (ICCV, 2019)

Differentiable Kernel Evolution. - Yu Liu 015; Jihao Liu; Xiaogang Wang 001; Ailing Zeng (ICCV, 2019)

Correlation Congruence for Knowledge Distillation. - Baoyun Peng; Xiao Jin; Dongsheng Li 001; Shunfeng Zhou; Yichao Wu; Jiaheng Liu; Zhaoning Zhang 001; Yu Liu 015 (ICCV, 2019)

Towards Flops-Constrained Face Recognition. - Yu Liu 015; Guanglu Song; Manyuan Zhang; Jihao Liu; Yucong Zhou; Junjie Yan (ICCV Workshops, 2019)

Learning Motion Priors for Efficient Video Object Detection. - Zhengkai Jiang 001; Yu Liu 015; Ceyuan Yang; Jihao Liu; Qian Zhang 009; Shiming Xiang; Chunhong Pan (CoRR, 2019)

Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection. - Hongyang Li 001; Yu Liu 015; Wanli Ouyang; Xiaogang Wang 001 (Int. J. Comput. Vis., 2019)

KPNet: Towards Minimal Face Detector. - Guanglu Song; Yu Liu 015; Yuhang Zang; Xiaogang Wang 001; Biao Leng; Qingsheng Yuan (AAAI, 2020)

Search to Distill: Pearls Are Everywhere but Not the Eyes. - Yu Liu 015; Xuhui Jia; Mingxing Tan; Raviteja Vemulapalli; Yukun Zhu; Bradley Green; Xiaogang Wang 001 (CVPR, 2020)

Revisiting the Sibling Head in Object Detector. - Guanglu Song; Yu Liu 015; Xiaogang Wang 001 (CVPR, 2020)

Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. - Hang Zhou 009; Jihao Liu; Ziwei Liu 002; Yu Liu 015; Xiaogang Wang 001 (CVPR, 2020)

Learning Where to Focus for Efficient Video Object Detection. - Zhengkai Jiang 001; Yu Liu 015; Ceyuan Yang; Jihao Liu; Peng Gao 007; Qian Zhang 009; Shiming Xiang; Chunhong Pan (ECCV (16), 2020)

Discriminability Distillation in Group Representation Learning. - Manyuan Zhang; Guanglu Song; Hang Zhou 009; Yu Liu 015 (ECCV (10), 2020)

Top-1 Solution of Multi-Moments in Time Challenge 2019. - Manyuan Zhang; Hao Shao; Guanglu Song; Yu Liu 015; Junjie Yan (CoRR, 2020)

1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation. - Yu Liu 015; Guanglu Song; Yuhang Zang; Yan Gao 017; Enze Xie; Junjie Yan; Chen Change Loy; Xiaogang Wang 001 (CoRR, 2020)

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020. - Siyu Chen; Junting Pan; Guanglu Song; Manyuan Zhang; Hao Shao; Ziyi Lin; Jing Shao; Hongsheng Li 001; Yu Liu 015 (CoRR, 2020)

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020. - Haisheng Su; Jinyuan Feng; Hao Shao; Zhenyu Jiang; Manyuan Zhang; Wei Wu 021; Yu Liu 015; Hongsheng Li 001; Junjie Yan (CoRR, 2020)

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization. - Junting Pan; Siyu Chen; Mike Zheng Shou; Yu Liu 015; Jing Shao; Hongsheng Li 001 (CVPR, 2021)

Switchable K-class Hyperplanes for Noise-Robust Representation Learning. - Boxiao Liu; Guanglu Song; Manyuan Zhang; Haihang You; Yu Liu 015 (ICCV, 2021)

Rectifying the Data Bias in Knowledge Distillation. - Boxiao Liu; Shenghan Zhang; Guanglu Song; Haihang You; Yu Liu 015 (ICCVW, 2021)

FNAS: Uncertainty-Aware Fast Neural Architecture Search. - Jihao Liu; Ming Zhang; Yangting Sun; Boxiao Liu; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (CoRR, 2021)

INTERN: A New Learning Paradigm Towards General Vision. - Jing Shao; Siyu Chen; Yangguang Li 001; Kun Wang; Zhenfei Yin; Yinan He; Jianing Teng; Qinghong Sun; Mengya Gao; Jihao Liu; Gengshi Huang; Guanglu Song; et al. (CoRR, 2021)

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. - Hao Shao; Letian Wang; Ruobing Chen 005; Hongsheng Li 001; Yu Liu 015 (CoRL, 2022)

Unifying Visual Perception by Dispersible Points Learning. - Jianming Liang; Guanglu Song; Biao Leng; Yu Liu 015 (ECCV (9), 2022)

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. - Jihao Liu; Xin Huang; Guanglu Song; Hongsheng Li 001; Yu Liu 015 (ECCV (21), 2022)

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers. - Jihao Liu; Boxiao Liu; Hang Zhou 009; Hongsheng Li 001; Yu Liu 015 (ECCV (26), 2022)

Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces. - Bingqi Ma; Guanglu Song; Boxiao Liu; Yu Liu 015 (ECCV (12), 2022)

Towards Robust Face Recognition with Comprehensive Search. - Manyuan Zhang; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (12), 2022)

Self-slimmed Vision Transformer. - Zhuofan Zong; Kunchang Li 002; Guanglu Song; Yali Wang 001; Yu Qiao 001; Biao Leng; Yu Liu 015 (ECCV (11), 2022)

UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning. - Kunchang Li 002; Yali Wang 001; Peng Gao 007; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Yu Qiao 001 (ICLR, 2022)

Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (NeurIPS, 2022)

UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning. - Kunchang Li 002; Yali Wang 001; Peng Gao 007; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Yu Qiao 001 (CoRR, 2022)

Meta Knowledge Distillation. - Jihao Liu; Boxiao Liu; Hongsheng Li 001; Yu Liu 015 (CoRR, 2022)

MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning. - Jihao Liu; Xin Huang; Yu Liu 015; Hongsheng Li 001 (CoRR, 2022)

Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (CoRR, 2022)

Large-batch Optimization for Dense Visual Predictions. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (CoRR, 2022)

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. - Chuming Li; Jie Liu 047; Yinmin Zhang; Yuhong Wei; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (AAAI, 2023)

MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers. - Jihao Liu; Xin Huang; Jinliang Zheng; Yu Liu 015; Hongsheng Li 001 (CVPR, 2023)

ReasonNet: End-to-End Driving with Temporal and Global Reasoning. - Hao Shao; Letian Wang; Ruobing Chen 005; Steven L. Waslander; Hongsheng Li 001; Yu Liu 015 (CVPR, 2023)

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. - Chuming Li; Ruonan Jia; Jie Liu 047; Yinmin Zhang; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (ECAI, 2023)

UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. - Shanshan Lao; Guanglu Song; Boxiao Liu; Yu Liu 015; Yujiu Yang (ICCV, 2023)

Masked Autoencoders Are Stronger Knowledge Distillers. - Shanshan Lao; Guanglu Song; Boxiao Liu; Yu Liu 015; Yujiu Yang (ICCV, 2023)

GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding. - Jihao Liu; Tai Wang; Boxiao Liu; Qihang Zhang; Yu Liu 015; Hongsheng Li 001 (ICCV, 2023)

Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. - Manyuan Zhang; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ICCV, 2023)

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. - Zhuofan Zong; Dongzhi Jiang; Guanglu Song; Zeyue Xue; Jingyong Su; Hongsheng Li 001; Yu Liu 015 (ICCV, 2023)

DETRs with Collaborative Hybrid Assignments Training. - Zhuofan Zong; Guanglu Song; Yu Liu 015 (ICCV, 2023)

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation. - Ming Zhang; Shenghan Zhang; Zhenjie Yang; Lekai Chen; Jinliang Zheng; Chao Yang 026; Chuming Li; Hang Zhou 009; Yazhe Niu; Yu Liu 015 (ICLR, 2023)

Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills. - Tong Zhou; Letian Wang; Ruobing Chen 005; Wenshuo Wang; Yu Liu 015 (IROS, 2023)

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Satoshi Tsutsui; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (ACM Multimedia, 2023)

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. - Yazhe Niu; Yuan Pu; Zhenjie Yang; Xueyan Li; Tong Zhou; Jiyuan Ren; Shuai Hu; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2023)

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. - Zeyue Xue; Guanglu Song; Qiushan Guo; Boxiao Liu; Zhuofan Zong; Yu Liu 015; Ping Luo 002 (NeurIPS, 2023)

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. - Letian Wang; Jie Liu 047; Hao Shao; Wenshuo Wang; Ruobing Chen 005; Yu Liu 015; Steven L. Waslander (Robotics: Science and Systems, 2023)

Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding. - Jihao Liu; Tai Wang; Boxiao Liu; Qihang Zhang; Yu Liu 015; Hongsheng Li 001 (CoRR, 2023)

Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising. - Fu-Yun Wang; Wenshuo Chen; Guanglu Song; Han-Jia Ye; Yu Liu 015; Hongsheng Li 001 (CoRR, 2023)

Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models. - Zhanhui Zhou; Jie Liu 047; Chao Yang 026; Jing Shao; Yu Liu 015; Xiangyu Yue 001; Wanli Ouyang; Yu Qiao 001 (CoRR, 2023)

Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations. - Lu Li; Yuxin Pan; Ruobing Chen 005; Jie Liu 047; Zilin Wang; Yu Liu 015; Zhiheng Li (CoRR, 2023)

Masked Pretraining for Multi-Agent Decision Making. - Jie Liu 047; Yinmin Zhang; Chuming Li; Chao Yang 026; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (CoRR, 2023)

Towards Large-scale Masked Face Recognition. - Manyuan Zhang; Bingqi Ma; Guanglu Song; Yunxiao Wang; Hongsheng Li 001; Yu Liu 015 (CoRR, 2023)

LMDrive: Closed-Loop End-to-End Driving with Large Language Models. - Hao Shao; Yuxuan Hu; Letian Wang; Steven L. Waslander; Yu Liu 015; Hongsheng Li 001 (CoRR, 2023)

UniFormer: Unifying Convolution and Self-Attention for Visual Recognition. - Kunchang Li 002; Yali Wang 001; Junhao Zhang; Peng Gao 007; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Yu Qiao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. - Xiaosong Jia; Penghao Wu; Li Chen 008; Yu Liu 015; Hongyang Li 001; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Teach-DETR: Better Training DETR With Teachers. - Linjiang Huang; Kaixin Lu; Guanglu Song; Liang Wang 001; Si Liu 001; Yu Liu 015; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Critic-Guided Decision Transformer for Offline Reinforcement Learning. - Yuanfu Wang; Chao Yang 026; Ying Wen; Yu Liu 015; Yu Qiao 001 (AAAI, 2024)

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. - Yinmin Zhang; Jie Liu 047; Chuming Li; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (AAAI, 2024)

EasyDrag: Efficient Point-Based Manipulation on Diffusion Models. - Xingzhong Hou; Boxiao Liu; Yi Zhang 108; Jihao Liu; Yu Liu 015; Haihang You (CVPR, 2024)

GLID: Pre-training a Generalist Encoder-Decoder Vision Model. - Jihao Liu; Jinliang Zheng; Yu Liu 015; Hongsheng Li 001 (CVPR, 2024)

LMDrive: Closed-Loop End-to-End Driving with Large Language Models. - Hao Shao; Yuxuan Hu; Letian Wang; Guanglu Song; Steven L. Waslander; Yu Liu 015; Hongsheng Li 001 (CVPR, 2024)

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. - Dazhong Shen; Guanglu Song; Zeyue Xue; Fu-Yun Wang; Yu Liu 015 (CVPR, 2024)

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. - Yang Zhou 019; Hao Shao; Letian Wang; Steven L. Waslander; Hongsheng Li 001; Yu Liu 015 (CVPR, 2024)

FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis. - Linjiang Huang; Rongyao Fang; Aiping Zhang; Guanglu Song; Si Liu 001; Yu Liu 015; Hongsheng Li 001 (ECCV (12), 2024)

ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model. - Fu-Yun Wang; Zhaoyang Huang; Qiang Ma; Guanglu Song; Xudong Lu; Weikang Bian; Yijin Li; Yu Liu 015; Hongsheng Li 001 (ECCV (45), 2024)

Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation. - Fu-Yun Wang; Xiaoshi Wu; Zhaoyang Huang; Xiaoyu Shi 002; Dazhong Shen; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (44), 2024)

Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models. - Xiaoshi Wu; Yiming Hao; Manyuan Zhang; Keqiang Sun; Zhaoyang Huang; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (83), 2024)

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest. - Shilong Zhang; Peize Sun; Shoufa Chen; Min Xiao; Wenqi Shao; Wenwei Zhang; Yu Liu 015; Kai Chen 026; Ping Luo 002 (ECCV Workshops (8), 2024)

Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction Tasks. - Manyuan Zhang; Guanglu Song; Xiaoyu Shi 002; Yu Liu 015; Hongsheng Li 001 (ECCV (42), 2024)

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. - Jianxiong Li; Jinliang Zheng; Yinan Zheng; Liyuan Mao; Xiao Hu; Sijie Cheng; Haoyi Niu; Jihao Liu; Yu Liu 015; Jingjing Liu; Ya-Qin Zhang; Xianyuan Zhan (ICML, 2024)

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching. - Dongzhi Jiang; Guanglu Song; Xiaoshi Wu; Renrui Zhang; Dazhong Shen; Zhuofan Zong; Yu Liu 015; Hongsheng Li 001 (NeurIPS, 2024)

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models. - Bingqi Ma; Zhuofan Zong; Guanglu Song; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2024)

Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning. - Hao Shao; Shengju Qian; Han Xiao 010; Guanglu Song; Zhuofan Zong; Letian Wang; Yu Liu 015; Hongsheng Li 001 (NeurIPS, 2024)

Phased Consistency Models. - Fu-Yun Wang; Zhaoyang Huang; Alexander William Bergman; Dazhong Shen; Peng Gao 007; Michael Lingelbach; Keqiang Sun; Weikang Bian; Guanglu Song; Yu Liu 015; Xiaogang Wang 001; Hongsheng Li 001 (NeurIPS, 2024)

Instruction-Guided Visual Masking. - Jinliang Zheng; Jianxiong Li; Sijie Cheng; Yinan Zheng; Jiaming Li; Jihao Liu; Yu Liu 015; Jingjing Liu; Xianyuan Zhan (NeurIPS, 2024)

MoVA: Adapting Mixture of Vision Experts to Multimodal Context. - Zhuofan Zong; Bingqi Ma; Dazhong Shen; Guanglu Song; Hao Shao; Dongzhi Jiang; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2024)

AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data. - Fu-Yun Wang; Zhaoyang Huang; Weikang Bian; Xiaoyu Shi 002; Keqiang Sun; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (SIGGRAPH Asia Technical Communications, 2024)

AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning. - Fu-Yun Wang; Zhaoyang Huang; Xiaoyu Shi 002; Weikang Bian; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models. - Hao Shao; Shengju Qian; Han Xiao 010; Guanglu Song; Zhuofan Zong; Letian Wang; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

FlashFace: Human Image Personalization with High-fidelity Identity Preservation. - Shilong Zhang; Lianghua Huang; Xi Chen; Yifei Zhang; Zhi-Fan Wu; Yutong Feng; Wei Wang 354; Yujun Shen; Yu Liu 015; Ping Luo 002 (CoRR, 2024)

ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze. - Chunyu Xuan; Yazhe Niu; Yuan Pu; Shuai Hu; Yu Liu 015; Jing Yang (CoRR, 2024)

Phased Consistency Model. - Fu-Yun Wang; Zhaoyang Huang; Alexander William Bergman; Dazhong Shen; Peng Gao 007; Michael Lingelbach; Keqiang Sun; Weikang Bian; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Xiaogang Wang 001 (CoRR, 2024)

PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements. - Xueyan Li; Xinyan Chen; Yazhe Niu; Shuai Hu; Yu Liu 015 (CoRR, 2024)

MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines. - Dongzhi Jiang; Renrui Zhang; Ziyu Guo; Yanmin Wu; Jiayi Lei; Pengshuo Qiu; Pan Lu; Zehui Chen; Guanglu Song; Peng Gao 007; Yu Liu 015; Chunyuan Li; et al. (CoRR, 2024)

CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation. - Fuxian Huang; Qi Zhang; Shaopeng Zhai; Jie Wang; Tianyi Zhang; Haoran Zhang; Ming Zhou; Yu Liu 015; Yu Qiao 001 (CoRR, 2024)

Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning. - Jianxiong Li; Zhihao Wang; Jinliang Zheng; Xiaoai Zhou; Guanming Wang; Guanglu Song; Yu Liu 015; Jingjing Liu; Ya-Qin Zhang; Junzhi Yu; Xianyuan Zhan (CoRR, 2024)

Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective. - Jinouwen Zhang; Rongkun Xue; Yazhe Niu; Yun Chen; Jing Yang; Hongsheng Li 001; Yu Liu 015 (CoRR, 2024)

Pretrained Reversible Generation as Unsupervised Visual Representation Learning. - Rongkun Xue; Jinouwen Zhang; Yazhe Niu; Dazhong Shen; Bingqi Ma; Yu Liu 015; Jing Yang (CoRR, 2024)

See Further When Clear: Curriculum Consistency Model. - Yunpeng Liu; Boxiao Liu; Yi Zhang 108; Xingzhong Hou; Guanglu Song; Yu Liu 015; Haihang You (CoRR, 2024)

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. - Zhuofan Zong; Dongzhi Jiang; Bingqi Ma; Guanglu Song; Hao Shao; Dazhong Shen; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping. - Hao Shao; Shulun Wang; Yang Zhou 019; Guanglu Song; Dailan He; Shuo Qin; Zhuofan Zong; Bingqi Ma; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

Adaptive pessimism via target Q-value for offline reinforcement learning. - Jie Liu 047; Yinmin Zhang; Chuming Li; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (Neural Networks, 2024)

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning. - Jie Liu 047; Yinmin Zhang; Chuming Li; Zhiyuan You; Zhanhui Zhou; Chao Yang 026; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (Trans. Mach. Learn. Res., 2024)

Enhancing Vision-Language Model with Unmasked Token Alignment. - Jihao Liu; Jinliang Zheng; Boxiao Liu; Yu Liu 015; Hongsheng Li 001 (Trans. Mach. Learn. Res., 2024)

Universal Actions for Enhanced Embodied Foundation Models. - Jinliang Zheng; Jianxiong Li; Dongxiu Liu; Yinan Zheng; Zhihao Wang; Zhonghong Ou; Yu Liu 015; Jingjing Liu; Ya-Qin Zhang; Xianyuan Zhan (CVPR, 2025)

MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines. - Dongzhi Jiang; Renrui Zhang; Ziyu Guo; Yanmin Wu; Jiayi Lei; Pengshuo Qiu; Pan Lu; Zehui Chen; Guanglu Song; Peng Gao 007; Yu Liu 015; Chunyuan Li; et al. (ICLR, 2025)

SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. - Yang Zhou 019; Hao Shao; Letian Wang; Steven L. Waslander; Hongsheng Li 001; Yu Liu 015 (ICLR, 2025)

MM-instruct: Generated visual instructions for large multimodal model alignment. - Xin Huang; Jihao Liu; Jinliang Zheng; Boxiao Liu; Jia Wang; Yu Liu 015; Hongsheng Li 001; Osamu Yoshie (Neurocomputing, 2025)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models. - Yuan Pu; Yazhe Niu; Zhenjie Yang; Jiyuan Ren; Hongsheng Li 001; Yu Liu 015 (Trans. Mach. Learn. Res., 2025)

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach. - Nianzu Yang; Pandeng Li; Liming Zhao; Yang Li 197; Chen-Wei Xie; Yehui Tang; Xudong Lu; Zhihang Liu; Yun Zheng; Yu Liu 015; Junchi Yan (CoRR, 2025)

High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning. - Dailan He; Xiahong Wang; Shulun Wang; Guanglu Song; Bingqi Ma; Hao Shao; Yu Liu 015; Hongsheng Li 001 (CoRR, 2025)

ADT: Tuning Diffusion Models with Adversarial Supervision. - Dazhong Shen; Guanglu Song; Yi Zhang 108; Bingqi Ma; Lujundong Li; Dongzhi Jiang; Zhuofan Zong; Yu Liu 015 (CoRR, 2025)

UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting. - Lu Han; Yu Liu 015; Qiwen Deng; Jian Jiang; Yinbo Sun; Zhe Yu; Binfeng Wang; Xingyu Lu; Lintao Ma; Han-Jia Ye; De-Chuan Zhan (CoRR, 2025)